#Binary-classification

Showing 11 of 11 repositories tagged #binary-classification, ranked by stars

sb-ai-lab
sb-ai-lab
LightAutoML

Fast and customizable framework for automatic ML model creation (AutoML)

Score
100
โ˜… 1.5k โ‘‚ 68 โ€”
Python
Mahlet-Inc
Mahlet-Inc
hobbits

A multi-platform GUI for bit-based analysis, processing, and visualization

Score
100
โ˜… 745 โ‘‚ 48 โ€”
Python
semasuka
semasuka
Credit-card-approval-prediction-classification

Credit risk analysis for credit card applicants

Score
0
โ˜… 310 โ‘‚ 101 โ€”
Jupyter Notebook
rahul-raj
rahul-raj
Java-Deep-Learning-Cookbook

Code for Java Deep Learning Cookbook

Score
67
โ˜… 196 โ‘‚ 43 โ€”
Java
dangnh0611
dangnh0611
kaggle_rsna_breast_cancer

1st place solution of RSNA Screening Mammography Breast Cancer Detection competition on Kaggle: https://www.kaggle.com/competitions/rsna-breast-cancer-detection

Score
33
โ˜… 96 โ‘‚ 33 โ€”
Python
rustyneuron01
rustyneuron01
AI-Generated-Content-Detection

Multi-modal AI-generated content detection: image, video, and audio. Benchmarks, training code (DINOv2, DINOv3, ReStraV, BreathNet), and evaluation pipeline for real vs. synthetic classification with calibration-aware metrics.

Score
100
โ˜… 84 โ‘‚ 48 โ€”
Python
cgnorthcutt
cgnorthcutt
rankpruning

๐Ÿงน Formerly for binary classification with noisy labels. Replaced by cleanlab.

Score
0
โ˜… 83 โ‘‚ 14 โ€”
Jupyter Notebook
UrbsLab
UrbsLab
STREAMLINE

Simple Transparent End-To-End Automated Machine Learning Pipeline for Supervised Learning in Tabular Binary Classification Data

Score
67
โ˜… 81 โ‘‚ 12 โ€”
Jupyter Notebook
lucazav
lucazav
binclass-tools

The binclass-tools package contains a set of Python wrappers and interactive plots that facilitate the analysis of binary classification problems.

Score
33
โ˜… 74 โ‘‚ 11 +1/day
Jupyter Notebook
moohax
moohax
Deep-Drop

Machine learning enabled dropper

Score
0
โ˜… 28 โ‘‚ 9 โ€”
Jupyter Notebook
NhanPhamThanh-IT
NhanPhamThanh-IT
Logistic-Regression-Rock-Mine-Prediction

๐Ÿชจ Machine learning project using logistic regression to classify sonar signals as either rocks or mines. Uses scikit-learn to train a binary classifier on sonar dataset with 60 numerical features for accurate underwater object detection.

Score
0
โ˜… 16 โ‘‚ 0 โ€”
Jupyter Notebook
Related Topics
#machine-learning#python#data-science#kaggle#nlp#regression#numpy#pandas#scikit-learn#artificial-intelligence#deep-learning#automated-machine-learning

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